We conduct experiments on several long-tail classification benchmark datasets: CIFAR100-LT [1]}, Places365-LT [2]}, ImageNet-LT [2]}, and iNaturalist 2018 [4]}. Experimental results show that xERM outperforms previous state-of-the-arts on both long-tailed and balanced test sets, which demonstrates that the performance gain is not from catering to the tail. Further qualitative studies show that the xERM helps with better feature representation.
